Briton Clive W.J Granger
[2003] 罗伯特·恩格尔(Robert F. Engle)和克莱夫·格兰杰(Briton Clive WJ Granger)
发明了处理许多经济时间序列两个关键特性的统计方法:时间变化的变更率和非平稳性。
本文件含一下论丛:
A Cointegration Analysis of Treasury Bill Yields
A simple nonlinear time series model with misleading linear properties
An introduction to stochastic unit-root processes
Comments on -Psychophysics of Prices-
Comments on testing economic theories and the use of model selection criteria
Copycats and Common Swings- The Impact of the Use of Forecasts in Information Sets
Developments in the Nonlinear Analysis of Economic Series
Impulse Response Functions Based on a Causal Approach to Residual Orthogonalization in vector autoregressions
Infinite Variance- and Research Strategy in Time Series Analysis
Is Seasonal Adjustment a Linear or Nonlinear Data-Filtering Process
Modeling volatility persistence of speculative returns-a new modle
Nonlinear stochastic trends
Prediction and Regulation by Linear Least-Squared Methods(review)
Shorte-run forecasts of electricity loads and peaks
Some Consequences of the Valuation Model When Expectations are Taken to be Optimum Forecasts
Time Series Analysis, Cointegration, and Applications
Varieties of long memory models
264573.rar
(12.19 MB, 需要: 1 个论坛币)
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[此贴子已经被作者于2008-12-11 3:35:32编辑过]



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